Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)

A new assessment method based on fuzzy linguistic of Engineering bidding risk prediction model

Authors
Shumei Cui
Corresponding Author
Shumei Cui
Available Online September 2012.
DOI
10.2991/emeit.2012.112How to use a DOI?
Keywords
Engineering bidding, risk factors, multi-attribute decision-making, fuzzy linguistic, the method of variation coefficient, project bidding risk assessment model, project example
Abstract

Bid risk is the important factors considered by the bidders in bid decision-making process. And bid risk analysis is a typical multi-attribute decision-making problem. Therefore, this paper proposes a new bid risk prediction model, based on the bidders’ risk prediction information in selecting bid project process ,with multiple attribute related theory on fuzzy linguistic for tools. A simple and explicit formula for obtaining the rick factors’ weights is got by the concept of range extremity difference. Finally, an example is given to show the rationality and effectiveness of the new method.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
Series
Advances in Intelligent Systems Research
Publication Date
September 2012
ISBN
978-90-78677-60-4
ISSN
1951-6851
DOI
10.2991/emeit.2012.112How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shumei Cui
PY  - 2012/09
DA  - 2012/09
TI  - A new assessment method based on fuzzy linguistic of Engineering bidding risk prediction model
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 539
EP  - 542
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.112
DO  - 10.2991/emeit.2012.112
ID  - Cui2012/09
ER  -